gemma4-31B-it-speculator.eagle3
This is a preliminary model release, we will continue to train the model and improve the acceptance rates in the next few days.
Model Overview
- Verifier: google/gemma-4-26B-A4B-it
- Speculative Decoding Algorithm: EAGLE-3
- Model Architecture: Eagle3Speculator
- Release Date: 04/13/2026
- Version: 1.0
- Model Developers: RedHat
This is a speculator model designed for use with google/gemma-4-26B-A4B-it, based on the EAGLE-3 speculative decoding algorithm.
It was trained using the Speculators library on a combination of the Magpie-Align/Magpie-Llama-3.1-Pro-300K-Filtered dataset and the train_sft split of the HuggingFaceH4/ultrachat_200k dataset. Training data used Magpie + UltraChat with responses from the gemma-4-31B-it model (no reasoning).
This model should be used with the google/gemma-4-26B-A4B-it chat template, specifically through the /chat/completions endpoint.
vLLM version
UPDATE: Now supported on vllm-main!
Use with vLLM
Evaluations
Model / run:
vLLM: UPDATE: Now supported on vllm-main!
Training data: Magpie + UltraChat; responses from the gemma 4 31B it model (no reasoning).
Use cases
Acceptance lengths (draft length, temperature=default)